Authors:
- Presents recent research in ontology engineering, with a focus on the healthcare and workforce domains
- Addresses the practical aspects of the two application domains
- Will benefit researchers, postgraduate students, consultants and practitioners alike
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 123)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (9 chapters)
-
Front Matter
About this book
The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.
Reviews
Authors and Affiliations
-
Independent Researcher, Perth, Australia
David E Forbes
-
Curtin University, Perth, Australia
Pornpit Wongthongtham
-
City of Cockburn, Perth, Australia
Chamonix Terblanche
-
Nakhon Pathom Rajabhat University, Nakhon Pathom, Thailand
Udsanee Pakdeetrakulwong
Bibliographic Information
Book Title: Ontology Engineering Applications in Healthcare and Workforce Management Systems
Authors: David E Forbes, Pornpit Wongthongtham, Chamonix Terblanche, Udsanee Pakdeetrakulwong
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-65012-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-65011-1Published: 23 August 2017
Softcover ISBN: 978-3-319-87925-3Published: 12 May 2018
eBook ISBN: 978-3-319-65012-8Published: 10 August 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIII, 103
Number of Illustrations: 3 b/w illustrations, 41 illustrations in colour
Topics: Computational Intelligence, Health Informatics, Artificial Intelligence